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All Journal Journal Civics and Social Studies Jurnal PEKA (Pendidikan Matematika) The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Dini Nuraeni
Unknown Affiliation
Earth & Planetary Sciences Education Mathematics Social Sciences

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PENERAPAN MODEL PEMBELAJARAN PROBLEM BASED LEARNING (PBL) DIMODIFIKASI NUMBERED TERHADAP KEMAMPUAN PEMAHAMAN KONSEP MATEMATIS SISWA Dini Nuraeni
Jurnal PEKA (Pendidikan Matematika) Vol. 1 No. 2 (2018): Jurnal PEKA (Pendidikan Matematika)
Publisher : Program Studi Pendidikan Matematika Universitas Muhammadiyah Sukabumi (UMMI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37150/jp.v1i2.1108

Abstract

Penelitian ini bertujuan untuk mengetahui apakah terdapat perbedaan kemampuan pemahaman konsep matematis antara siswa yang menggunakan model pembelajaran Problem Based Learning (PBL) Dimodifikasi Numbered dengan siswa yang menggunakan model pembelajaran PBL dan siswa yang menggunakan model pembelajaran Langsung. Serta untuk mengetahui model pembelajaran manakah yang lebih baik dari ketiga model pembelajaran tersebut. Penelitian ini menggunakan metode penelitian eksperimen dengan desain eksperimen semu (quasi experimen) bentuk the nonequivalent posttest control group design. Populasi dalam penelitian ini adalah seluruh siswa kelas VIII SMP Negeri 2 Ciemas Kabupaten Sukabumi tahun ajaran 2017/2018. Teknik pengumpulan data yang digunakan dalam penelitian ini menggunakan teknik tes dan tek non tes. Teknik pengumpulan data melalui teknik tes menggunakan data postes. Sedangkan, pengumpulan data melalui teknik non tes ditempuh melalui dokumentasi, wawancara dan observasi. Instrumen penelitian yang digunakan dalam penelitian ini yaitu intrumen tes dan intrumen non tes, instrument non tes yang digunakan yaitu pedoman wawancara dan lembar observasi. Hasil penelitian menunjukan bahwa: 1) Terdapat perbedaan kemampuan pemahaman konsep matematis antara siswa yang menggunakan model pembelajaran PBL dimodifikasi numbered, siswa yang menggunakan model pembelajaran PBL, dan siswa yang menggunakan model pembelajaran langsung; 2) Kemampuan pemahaman konsep matematis siswa yang menggunakan model pembelajaran PBL dimodifikasi numbered lebih baik daripada siswa yang menggunakan model pembelajaran PBL; 3) Kemampuan pemahaman konsep matematis siswa yang menggunakan model pembelajaran PBL dimodifikasi numbered lebih baik daripada siswa yang menggunakan model pembelajaran langsung; 4) Kemampuan pemahaman konsep matematis siswa yang menggunakan model pembelajaran PBL tidak lebih baik daripada siswa yang menggunakan model pembelajaran langsung.
The Role of Internet Technology in E-Commerce Sukma Nugraha; Dini Nuraeni
Journal Civics And Social Studies Vol. 5 No. 2 (2021): Jurnal Civicos Vol 5 No 2 Tahun 2021
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/journalcss.v5i2.154

Abstract

This research discusses the role of internet technology in e-commerce. This research used a causal research design on 58 respondents. The data collection technique used is simple linear regression with the SPSS 21 application. Technology plays a role in the development of e-commerce. This shows that customers will be satisfied if they use technology that offers good technology, low risk and the development of e-commerce. This research has benefits in developing applied theory that information technology plays an important role in e-commerce. For further research, it is hoped that we will examine dividend variables that are not included in this research model. This research has practical benefits for business actors using e-commerce to improve marketing performance by always paying attention to the role of information technology in e-commerce.
SPATIAL MACHINE LEARNING FOR MONITORING TEA LEAVES AND CROP YIELD ESTIMATION USING SENTINEL-2 IMAGERY, (A Case of Gunung Mas Plantation, Bogor) Dini Nuraeni; Masita Dwi Mandini Manessa
International Journal of Remote Sensing and Earth Sciences Vol. 19 No. 2 (2022)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3830

Abstract

Indonesia's tea production and export volume have fluctuated with a downward trend in the last five years, partly due to the increasingly competitive world tea quality. Crop yield estimation is part of the management of tea plucking, affecting tea quality and quantity. The constraint in estimating crop yields requires technology that can make the process more effective and efficient. Remote sensing technology and machine learning have been widely used in precision agriculture. Recently, big data processing, especially remote sensing data, machine learning, and deep learning have been carried out using a cloud computing platform. Therefore, we propose using GeoAI, a combination of Sentinel-2A imagery, machine learning, and Google Collaboratory, to predict ready for plucking tea leaves at optimal plucking time at Gunung Mas Plantation Bogor. We used selected bands of Sentinel-2A and extracted more features (i.e., NDVI) as a training set. Then we utilized the tea blocks boundary and tea plucking data to generate labels using Random Forest (RF) and Support Vector Machine (SVM). The classification results were further used to estimate the production of crop tea yield. The RF classifier is able to achieve overall accuracy at 51% and SVM at 54%. Meanwhile, accuracy at optimally aged tea blocks is able to achieve at 75.62% for RF and 52.88% for SVM. Thus, the SVM classifier is better in terms of overall accuracy. Meanwhile, the RF classifier is superior in predicting ready for plucking tea at optimally aged tea blocks.
Co-Authors Masita Dwi Mandini Manessa Sukma Nugraha